Qwen3.6-35B-A3B pushes local coding limits

35B sparse MoE is a strong result for that hardware, but the more interesting candidate is probably the 27B dense sibling rather than a bigger quant.

• –The reported 17 t/s suggests the machine is already usable for local inference, but 65k context and large KV cache settings will matter as much as raw parameter count.
• –Product Hunt frames Qwen3.6-27B as the sweet-spot open dense model for coding agents, and Qwen’s own blog positions it as flagship-level coding in a 27B dense checkpoint.
• –For lightweight coding, dense models tend to feel more predictable than MoE checkpoints once memory bandwidth and context pressure start to dominate.
• –The real test is code completion, refactoring, and instruction-following quality, not just throughput or VRAM fit.